Fabio Aiolli

125 total papers · 2.1k total citations
70 papers, 1.1k citations indexed

About

Fabio Aiolli is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Fabio Aiolli has authored 70 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 28 papers in Computer Vision and Pattern Recognition and 18 papers in Information Systems. Recurrent topics in Fabio Aiolli's work include Face and Expression Recognition (16 papers), Recommender Systems and Techniques (11 papers) and Machine Learning and Data Classification (11 papers). Fabio Aiolli is often cited by papers focused on Face and Expression Recognition (16 papers), Recommender Systems and Techniques (11 papers) and Machine Learning and Data Classification (11 papers). Fabio Aiolli collaborates with scholars based in Italy, Switzerland and Australia. Fabio Aiolli's co-authors include Ivano Lauriola, Alberto Lavelli, Michele Donini, Alessandro Sperduti, Mirko Polato, Giovanni Da San Martino, Guglielmo Faggioli, Claudio Gallicchio, Ombretta Gaggi and Nicolò Navarin and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Expert Systems with Applications.

In The Last Decade

Fabio Aiolli

65 papers receiving 1.1k citations

Hit Papers

An introduction to Deep L... 2021 2026 2022 2024 2021 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fabio Aiolli 599 273 271 104 91 70 1.1k
Asit Kumar Das 740 1.2× 214 0.8× 221 0.8× 88 0.8× 71 0.8× 93 1.4k
Sungchul Kim 932 1.6× 299 1.1× 237 0.9× 141 1.4× 87 1.0× 92 1.4k
Bo Long 747 1.2× 270 1.0× 302 1.1× 93 0.9× 98 1.1× 32 1.2k
Bert Huang 766 1.3× 229 0.8× 176 0.6× 85 0.8× 95 1.0× 50 1.3k
Christin Seifert 781 1.3× 392 1.4× 160 0.6× 56 0.5× 104 1.1× 98 1.5k
Andreas Stafylopatis 743 1.2× 334 1.2× 202 0.7× 82 0.8× 75 0.8× 125 1.4k
Peng Zhang 955 1.6× 254 0.9× 205 0.8× 71 0.7× 157 1.7× 67 1.2k
Zhe Zhao 1.0k 1.7× 253 0.9× 139 0.5× 73 0.7× 77 0.8× 50 1.2k
Ho‐Jin Choi 637 1.1× 260 1.0× 298 1.1× 137 1.3× 135 1.5× 154 1.4k
Jilian Zhang 787 1.3× 332 1.2× 265 1.0× 56 0.5× 114 1.3× 42 1.2k

Countries citing papers authored by Fabio Aiolli

Since Specialization
Citations

This map shows the geographic impact of Fabio Aiolli's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fabio Aiolli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Aiolli more than expected).

Fields of papers citing papers by Fabio Aiolli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabio Aiolli. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fabio Aiolli. The network helps show where Fabio Aiolli may publish in the future.

Co-authorship network of co-authors of Fabio Aiolli

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Aiolli. A scholar is included among the top collaborators of Fabio Aiolli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fabio Aiolli. Fabio Aiolli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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